An automated food waste processing system including an enclosure secured to prevent unauthorized access to contents contained therein, the enclosure including a plurality of exterior walls and a food waste processing system housed within the enclosure. The food waste processing system including an imaging system configured to capture a plurality of images of the food waste and the non-biodegradable material received by the sorting receptacle, a processing system configured to process the plurality of images using a trained neural network to identify at least plastic waste and metal waste as the non-biodegradable material when included in the food waste input stream as received by the sorting receptacle, and a sorting system configured to, in response to instructions received from the processing system, automatically locate and remove the non-biodegradable material from the sorting receptacle to create a bio-degradable input stream to the anaerobic digester.

Maintaining a data structure corresponding to a target object is disclosed, including: determining that an identified target object from a sensed signal is a new target object, wherein the sensed signal is generated at a sorting facility; generating a new data structure corresponding to the new target object; and updating the new data structure with an attribute associated with the new target object, wherein the attribute is derived from the sensed signal associated with the new target object.

An apparatus that facilitates the manual sorting of objects is disclosed. The apparatus includes a display surface having a surface that can be selectively illuminated and that is adapted for receiving the objects. An identification reader reads identification information stored on the objects. A controller causes an area on the display surface corresponding to one of the objects to be illuminated based on the identification information and indicates a location to which the illuminated object is to be moved. In one aspect of the invention, the display surface includes an area adapted for positioning a receiver for the objects. The display surface provides an indication of a position in the receiver at which the one of the objects is to be placed.

Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked. When images are acquired after picking they can be imaged accurately and the information about picking and also dropping success can be improved by using acquired images as a feedback in the machine learning arrangement being used for controlling the picking and dropping of objects.

Apparatuses, components and methods are provided herein useful to provide assistance to customers and/or workers in a shopping facility. In some embodiments, a shopping facility personal assistance system comprises: a plurality of motorized transport units located in and configured to move through a shopping facility space; a plurality of user interface units, each corresponding to a respective motorized transport unit during use of the respective motorized transport unit; and a central computer system having a network interface such that the central computer system wirelessly communicates with one or both of the plurality of motorized transport units and the plurality of user interface units, wherein the central computer system is configured to control movement of the plurality of motorized transport units through the shopping facility space based at least on inputs from the plurality of user interface units.

Microspheres are sorted by resonant light pressure effects. An evanescent optical field is generated when light is confined within the interior of an optical element such as a surface waveguide, a tapered microfiber, or a prism. Microspheres brought within vicinity of the surface are subjected to forces that result from a coupling of the evanescent field to whispering gallery modes (WGM) in the microspheres. Alternatively, a focused laser beam is directed close to the edge of the microspheres to exert resonant optical forces on microspheres. Alternatively, standing optical waves are excited in the optical element. Optical forces are resonantly enhanced when light frequencies match WGM frequencies in the microspheres. Those microspheres for which resonance is obtained are more affected by the evanescent field than microspheres for which resonance does not occur. Greater forces are applied to resonating microspheres, which are separated from a heterogeneous mixture according to size.

A distribution system is disclosed for use in an induction system with an object processing system. The distribution system provides distribution of dissimilar objects into one of a plurality of receiving units. The distribution system includes an urging system for urging an object on a conveyor from the conveyor to one of a plurality of adjacent receiving stations via a receiving chute, wherein each receiving station is lower than the conveyor.

A quality-control device (200) includes: an illumination system (202) for illuminating one peripheral face of each folding box, an image capture device (204) for forming a multiple image of the respective peripheral faces of a bundle of folding boxes, an image processing system (206) for: i) detecting within the multiple image each peripheral end of the slots of each box that separate its adjacent flaps, ii) generating a data set indicative of the geometry of each peripheral end, and iii) analyzing the data set to determine the width of each peripheral end.

A quality-control device (200) includes: an illumination system (202) for illuminating one peripheral face of each folding box, an image capture device (204) for forming a multiple image of the respective peripheral faces of a bundle of folding boxes, an image processing system (206) for: i) detecting within the multiple image each peripheral end of the slots of each box that separate its adjacent flaps, ii) generating a data set indicative of the geometry of each peripheral end, and iii) analyzing the data set to determine the width of each peripheral end.

An efficient material recovery facility is disclosed, including: a first sorting device configured to: process a first instruction to remove a first target item from a set of items; and in response to the first instruction, perform a first sorting action to remove the first target item from the set of items, wherein the set of items excluding at least the first target item is to be transported towards a second sorting device, wherein the second sorting device is associated with a same sorting device type as the first sorting device; and wherein the second sorting device is configured to perform a second sorting action to remove a second target item from the set of items excluding at least the first target item in response to receiving a second instruction to remove the second target item.